Triple
T3007951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya Castle |
E81946
|
entity |
| Predicate | originalKeepDestroyedIn |
P11808
|
FINISHED |
| Object | 1945 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1945 | Statement: [Nagoya Castle, originalKeepDestroyedIn, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalKeepDestroyedIn Context triple: [Nagoya Castle, originalKeepDestroyedIn, 1945]
-
A.
destroyedDuring
chosen
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
B.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
-
C.
savedFromDemolition
Indicates that one entity prevented another entity (typically a structure or site) from being destroyed or torn down.
-
D.
designedToDestroy
Indicates that one entity was intentionally created or configured for the purpose of damaging, disabling, or annihilating another entity.
-
E.
wasDestroyedOrTransformed
Indicates that an entity ceased to exist in its original form due to being either destroyed or fundamentally transformed.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4a12508190a48ae1c86233d25e |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.